Clinical Report: Evaluation of Serum Biomarkers for Coronary Artery Calcification

Overview

This study identifies SMOC1, HSP90B1, and OPTN as potential serum biomarkers for coronary artery calcification (CAC) and develops a predictive regression model. The model demonstrates improved predictive performance compared to traditional clinical indicators.

Background

Coronary artery calcification (CAC) is a significant marker for coronary atherosclerosis and is associated with increased cardiovascular risk. Traditional risk assessment methods have limitations, necessitating the identification of novel biomarkers to enhance predictive accuracy. Understanding the molecular mechanisms of CAC can lead to better prevention and treatment strategies for cardiovascular disease.

Data Highlights

Key Findings

• 39 differentially expressed proteins identified, with 18 upregulated and 21 downregulated.
• SMOC1, HSP90B1, and OPTN were highlighted as candidate biomarkers for CAC.
• The AUC for the predictive model incorporating biomarkers was 0.894, outperforming the baseline model (AUC = 0.845).
• Calibration curves showed good agreement between predicted and observed probabilities.
• Decision curves indicated a positive clinical net benefit for the model within the 0.1–0.8 probability threshold range.

Clinical Implications

The identification of SMOC1, HSP90B1, and OPTN as biomarkers for CAC can aid in early detection and risk stratification of cardiovascular disease. Implementing the nomogram model in clinical practice may enhance patient management and treatment decisions.

Conclusion

The study presents promising serum biomarkers for CAC and a robust predictive model that could improve cardiovascular risk assessment and management.

Related Resources & Content

1. Frontiers in Cardiovascular Medicine, 2026 -- The serum ANGPTL4 level and severe coronary artery calcification: from association to risk prediction using a nomogram
2. European Journal of Preventive Cardiology, 2026 -- Association of 10- and 30-Year PREVENT Risk Scores with Coronary Artery Calcium Levels and the Onset of Atherosclerotic Cardiovascular Disease: Insights from MESA
3. conexiant -- Calcium Score Model Tested in Chest Pain
4. European Radiology -- The Role of Coronary Calcification in Evaluating Plaque Characteristics: A Comparison Between Computed Tomography and Multimodal Intravascular Imaging Techniques
5. 2026 Guideline on the Management of Dyslipidemia - Professional Heart Daily | American Heart Association
6. Effects of Combining Coronary Calcium Score With Treatment on Plaque Progression in Familial Coronary Artery Disease: A Randomized Clinical Trial - PMC
7. Proteogenomic Analysis of Coronary Artery Calcification in Human Populations. El-Sabawi B, Huang X, Lin P, Anwar MY, et al. Arterioscler Thromb Vasc Biol 2026 Apr 2.
8. 2026 Guideline on the Management of Dyslipidemia - Professional Heart Daily | American Heart Association
9. Effects of Combining Coronary Calcium Score With Treatment on Plaque Progression in Familial Coronary Artery Disease: A Randomized Clinical Trial - PMC
10. Proteogenomic Analysis of Coronary Artery Calcification in Human Populations. El-Sabawi B, Huang X, Lin P, Anwar MY, et al. Arterioscler Thromb Vasc Biol 2026 Apr 2. doi: 10.1161/ATVBAHA.125.324171.